Mark Fuge

2.0k total citations · 1 hit paper
74 papers, 1.2k citations indexed

About

Mark Fuge is a scholar working on Mechanical Engineering, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Mark Fuge has authored 74 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Mechanical Engineering, 15 papers in Computational Theory and Mathematics and 10 papers in Artificial Intelligence. Recurrent topics in Mark Fuge's work include Design Education and Practice (17 papers), Advanced Multi-Objective Optimization Algorithms (11 papers) and Creativity in Education and Neuroscience (7 papers). Mark Fuge is often cited by papers focused on Design Education and Practice (17 papers), Advanced Multi-Objective Optimization Algorithms (11 papers) and Creativity in Education and Neuroscience (7 papers). Mark Fuge collaborates with scholars based in United States, Switzerland and Chile. Mark Fuge's co-authors include Wei Chen, Zois Boukouvalas, Peter W. Chung, Daniel C. Elton, Kevin Chiu, Alice M. Agogino, Faez Ahmed, Jun Wang, Levent Burak Kara and Mehmet Ersın Yümer and has published in prestigious journals such as Acta Materialia, Computer Methods in Applied Mechanics and Engineering and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Mark Fuge

67 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep learning for molecular design—a review of the state of the art

2019 416 citations Daniel C. Elton, Zois Boukouvalas et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mark Fuge United States	16	414	324	261	198	128	74	1.2k
Douglas Allaire United States	24	429 1.0×	299 0.9×	259 1.0×	32 0.2×	53 0.4×	91	1.3k
Zhenkun Wang China	28	886 2.1×	93 0.3×	158 0.6×	48 0.2×	49 0.4×	118	2.1k
Zhipeng Zhang China	23	166 0.4×	137 0.4×	128 0.5×	226 1.1×	16 0.1×	133	1.5k
Sunil Gupta Australia	18	233 0.6×	154 0.5×	187 0.7×	41 0.2×	21 0.2×	70	1.2k
Xia Chen China	36	102 0.2×	155 0.5×	231 0.9×	37 0.2×	27 0.2×	186	3.8k
Zhiqiang Zeng China	24	116 0.3×	261 0.8×	204 0.8×	73 0.4×	57 0.4×	113	1.7k
Frank F. Xu United States	21	195 0.5×	176 0.5×	292 1.1×	36 0.2×	97 0.8×	72	2.0k
Ming Lei China	14	74 0.2×	427 1.3×	153 0.6×	44 0.2×	46 0.4×	50	1.3k
Wei Song China	21	391 0.9×	129 0.4×	370 1.4×	35 0.2×	115 0.9×	187	1.8k

Countries citing papers authored by Mark Fuge

Since Specialization

Citations

This map shows the geographic impact of Mark Fuge's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mark Fuge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Fuge more than expected).

Fields of papers citing papers by Mark Fuge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Fuge. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mark Fuge. The network helps show where Mark Fuge may publish in the future.

Co-authorship network of co-authors of Mark Fuge

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Fuge. A scholar is included among the top collaborators of Mark Fuge based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark Fuge. Mark Fuge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Liu, Dehao, et al.. (2025). GrainPaint: A multi-scale diffusion-based generative model for microstructure reconstruction of large-scale objects. Acta Materialia. 288. 120784–120784. 2 indexed citations

Patterson, John, Mark Fuge, Janet G. van Hell, et al.. (2025). CAP: The creativity assessment platform for online testing and automated scoring. Behavior Research Methods. 57(9). 264–264. 1 indexed citations

Fuge, Mark, et al.. (2025). Bayesian inverse problems with conditional Sinkhorn generative adversarial networks in least volume latent spaces. Neural Networks. 191. 107740–107740.

Loke, Yue‐Hin, et al.. (2024). Automatic Laplacian-based shape optimization for patient-specific vascular grafts. Computers in Biology and Medicine. 184. 109308–109308.

Wang, Jun, et al.. (2024). Mean Squared Error May Lead You Astray When Optimizing Your Inverse Design Methods. Journal of Mechanical Design. 147(2). 1 indexed citations

Fuge, Mark, et al.. (2024). A 3D-Microprinted Coaxial Nozzle for Fabricating Long, Flexible Microfluidic Tubing. PubMed. 2024. 1174–1177. 1 indexed citations

Fuge, Mark, et al.. (2024). Optimizing Diffusion to Diffuse Optimal Designs. 2 indexed citations

Barnes, N., Clifford R. Weiss, Christopher R. Bailey, et al.. (2024). An Approach for 3D Microprinting Soft Robotic Surgical Tools at 1.5 French Length Scales for Endovascular Interventions. PubMed. 2024. 386–391. 6 indexed citations

Fuge, Mark, et al.. (2024). Fabrication of Multilumen Microfluidic Tubing for Ex Situ Direct Laser Writing. PubMed. 2024. 1158–1161. 2 indexed citations

10.

Xu, Xin, William E. Bentley, Mark Fuge, et al.. (2022). 3D MICROPRINTING OF MULTI-ACTUATOR SOFT ROBOTS ONTO 3D-PRINTED MICROFLUIDIC DEVICES VIA EX SITU DIRECT LASER WRITING. 332–335. 7 indexed citations

11.

Hibino, Narutoshi, et al.. (2022). Surgical Planning and Optimization of Patient-Specific Fontan Grafts With Uncertain Post-Operative Boundary Conditions and Anastomosis Displacement. IEEE Transactions on Biomedical Engineering. 69(11). 3472–3483. 8 indexed citations

12.

Ghoreishi, Seyede Fatemeh, Ryan D. Sochol, Dheeraj Gandhi, Axel Krieger, & Mark Fuge. (2022). Physics-Informed Modeling and Control of Multi-Actuator Soft Catheter Robots. Frontiers in Robotics and AI. 8. 772628–772628. 4 indexed citations

13.

Loke, Yue‐Hin, et al.. (2021). Semi-Automatic Planning and Three-Dimensional Electrospinning of Patient-Specific Grafts for Fontan Surgery. IEEE Transactions on Biomedical Engineering. 69(1). 186–198. 8 indexed citations

14.

Ghoreishi, Seyede Fatemeh, Ryan D. Sochol, Dheeraj Gandhi, Axel Krieger, & Mark Fuge. (2021). Bayesian Optimization for Design of Multi-Actuator Soft Catheter Robots. IEEE Transactions on Medical Robotics and Bionics. 3(3). 725–737. 12 indexed citations

15.

Balakrishnan, Sangeeth, et al.. (2021). Locally Optimizable Joint Embedding Framework to Design Nitrogen‐rich Molecules that are Similar but Improved. Molecular Informatics. 40(7). e2100011–e2100011. 9 indexed citations

16.

Chen, Wei, Kevin Chiu, & Mark Fuge. (2020). Airfoil Design Parameterization and Optimization Using Bézier Generative Adversarial Networks. AIAA Journal. 58(11). 4723–4735. 96 indexed citations

17.

Elton, Daniel C., Zois Boukouvalas, Mark Fuge, & Peter W. Chung. (2019). Deep learning for molecular generation and optimization - a review of the state of the art. arXiv (Cornell University). 9 indexed citations

18.

Chen, Wei & Mark Fuge. (2018). Active expansion sampling for learning feasible domains in an unbounded input space. Structural and Multidisciplinary Optimization. 57(3). 925–945. 14 indexed citations

19.

Ahmed, Faez & Mark Fuge. (2017). Capturing Winning Ideas in Online Design Communities. 1675–1687. 12 indexed citations

20.

Fuge, Mark & Alice M. Agogino. (2014). User Research Methods for Development Engineering: A Study of Method Usage With IDEO’s HCD Connect. 8 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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